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» Anomaly Detection Using Call Stack Information
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CISS
2008
IEEE
14 years 5 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
ICDM
2005
IEEE
190views Data Mining» more  ICDM 2005»
14 years 4 months ago
Neighborhood Formation and Anomaly Detection in Bipartite Graphs
Many real applications can be modeled using bipartite graphs, such as users vs. files in a P2P system, traders vs. stocks in a financial trading system, conferences vs. authors ...
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Chri...
IWSOS
2007
Springer
14 years 4 months ago
Collaborative Anomaly-Based Attack Detection
Today networks suffer from various challenges like distributed denial of service attacks or worms. Multiple different anomaly-based detection systems try to detect and counter such...
Thomas Gamer, Michael Scharf, Marcus Schöller
IWIA
2003
IEEE
14 years 3 months ago
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
SAC
2006
ACM
14 years 4 months ago
An anomaly-driven reverse proxy for web applications
Careless development of web-based applications results in vulnerable code being deployed and made available to the whole Internet, creating easily-exploitable entry points for the...
Fredrik Valeur, Giovanni Vigna, Christopher Kr&uum...